Brigitte Maes
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Molecular Biology
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Christiane De Wolf‐PeetersPeter MarynenIwona WłodarskaAnne HagemeijerMarijke RaymaekersReinoud CartuyvelsChris De Wolf‐PeetersAnja Steyls
- Topics
- Lymphoma Diagnosis and Treatment (25 papers)Cancer Genomics and Diagnostics (17 papers)Chronic Lymphocytic Leukemia Research (12 papers)
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Brigitte Maes
53 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Pathology and Forensic Medicine 929
- Oncology 715
- Molecular Biology 397
- Genetics 392
- Pulmonary and Respiratory Medicine 320
Countries citing papers authored by Brigitte Maes
This map shows the geographic impact of Brigitte Maes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brigitte Maes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Maes more than expected).
Fields of papers citing papers by Brigitte Maes
This network shows the impact of papers produced by Brigitte Maes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brigitte Maes. The network helps show where Brigitte Maes may publish in the future.
Co-authorship network of co-authors of Brigitte Maes
This figure shows the co-authorship network connecting the top 25 collaborators of Brigitte Maes. A scholar is included among the top collaborators of Brigitte Maes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brigitte Maes. Brigitte Maes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 73 | |
| 17 | 210 | |
| 18 | Frequent rearrangement of the BCL6 gene in lymphocyte predominance Hodgkin's lymphoma and its absence in classical Hodgkin's disease provides further evidence for their genetic diversity | 1 |
| 19 | Fusion between the apoptosis inhibitor gene AP12 and a novel 18q gene MLT , rearranged in the t(11,18)(q21;q21), marks half of the gastro-intestinal MALT type lymphomas without large cell proliferation | 4 |
| 20 | The t(11;18)(q21;q21) characterizes a subgroup of extranodal MALT lymphomas: a two-color fluor-escence in situ hybridization study using AP12 and MLT specific probes | 1 |
About Brigitte Maes
Brigitte Maes is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (25 papers), Cancer Genomics and Diagnostics (17 papers) and Chronic Lymphocytic Leukemia Research (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (929 citations), Genetics (392 citations) and Oncology (715 citations). Brigitte Maes has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Christiane De Wolf‐Peeters, Peter Marynen, Iwona Włodarska, Anne Hagemeijer, Marijke Raymaekers, Reinoud Cartuyvels, Chris De Wolf‐Peeters, Anja Steyls, Jan Cools and Patrick Pauwels. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.